Description Usage Arguments Details Value See Also Examples
View source: R/AM_mix_components_prior.R
This generates a configuration object for a Shifted Negative Binomial prior on the number of mixture components such that
q_M(m)=Pr(M=m) =\frac{Γ(r+m-1)}{(m-1)!Γ(r)} p^{m-1}(1-p)^r, \quad m=1,2,3,…
The hyperparameters p\in (0,1) (probability of success) and r>0 (size) can either be fixed using r
and p
or assigned appropriate prior distributions.
In the latter case, we assume p \sim Beta(a_P,b_P) and r \sim Gamma(a_R,b_R). In AntMAN we assume the following
parametrization of the Gamma density:
p(x\mid a,b )= \frac{b^a x^{a-1}}{Γ(a)} \exp\{ -bx \}, \quad x>0.
1 2 3 4 5 6 7 8 9 10 |
a_R |
The shape parameter a of the Gamma(a,b) prior distribution for r. |
b_R |
The rate parameter b of the Gamma(a,b) prior distribution for r. |
a_P |
The parameter a of the Beta(a,b) prior distribution for p. |
b_P |
The parameter b of the Beta(a,b) prior distribution for p. |
R |
It allows to fix r to a specific value. |
P |
It allows to fix p to a specific value. |
init_R |
The initial value of r, when specifying |
init_P |
The inivial value of p, when specifying |
If no arguments are provided, the default is r = 1 , a_P = 1, b_P = 1.
Additionally, when init_R and init_P are not specified, there are default values: init_R = 1 and init_P = 0.5.
An AM_mix_components_prior
object. This is a configuration list to be used as mix_components_prior
argument for AM_mcmc_fit
.
1 2 | AM_mix_components_prior_negbin (R=1, P=1)
AM_mix_components_prior_negbin ()
|
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